5 papers
LabelMate: An LLM-Driven Framework for Refined Issue Report Labeling
Liam Johnston, Shayan Noei, Maram Assi +1
Software users often submit issue reports to a product's issue tracking system to report defects, suggest enhancements, or raise other product-related concerns. Labeling these issu…
The Impact of LLM-Assistants on Software Developer Productivity: A Systematic Review and Mapping Study
Amr Mohamed, Maram Assi, Mariam Guizani
Large language model assistants (LLM-assistants) present new opportunities to transform software development. Developers are increasingly adopting these tools across tasks, includi…
Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study
Buthayna AlMulla, Maram Assi, Safwat Hassan
Generative AI (Gen-AI) is increasingly integrated into mobile applications (apps), introducing new capabilities while also creating new challenges for users. However, despite their…
LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
Maram Assi, Safwat Hassan, Ying Zou
The exponential growth of the mobile app market underscores the importance of constant innovation and rapid response to user demands. As user satisfaction is paramount to the succe…
Unraveling Code Clone Dynamics in Deep Learning Frameworks
Maram Assi, Safwat Hassan, Ying Zou
Deep Learning (DL) frameworks play a critical role in advancing artificial intelligence, and their rapid growth underscores the need for a comprehensive understanding of software q…